Federal Supply Schedule 47QTCA22D00C4

Momentum Data Engineering AI/ML

Platform

Product Documentation

9/21/2023

Table of Contents I. Momentum Platform

A. Momentum Core Platform Components

▪ Data Engineering Component

▪ Data Warehouse Component

▪ Machine Learning, Computer Vision, and Natural Language Processing Components

▪ Automation Engine

▪ Visualization

II. Momentum MLOps Platform

III. Artificial Intelligence Training for Non-Programmers

IV. GSA Schedule Price List

I. Momentum Platform Momentum data engineering and AI platform is utilized in ingesting and transforming data from a wide variety of data sources, training machine learning models, deploying, and managing these models into production, and bringing AI-powered automation at the enterprise scale. The platform is comprised of 8 components that all work in harmony providing a complete end-to-end platform for data engineers, scientists, and DevOps to rapidly develop, deploy, and derive business values. These components are installed and configured on the client’s hardware; this is not a Cloud SaaS offering. Statement of Intent: We propose to sell platform licenses, this is not a SaaS based subscription.

*** Cloud is referenced in the overall platform in the HDFS storage that can be hosted on a cloud platform and is for illustrative purposes only and not a part of the Momentum Product suite proposed for sale to the Federal Government.

A. Momentum Core Platform Components

The components of the core platform include Data Engineering, Data Warehouse, Machine

Learning, Computer Vision, Natural Language Processing, Automation Engine, and Visualization.

▪ Data Engineering Component

Momentum Connect Architecture

For any data-driven development, engineers and data scientists spend 80% of their time in data wrangling. Momentum Connect helps automate this process so as to improve the productivity of all stakeholders. You can speed up the data wrangling process by ingesting, cleaning, blending, and transforming a wide variety of data formats from external systems at high speed and scale.

▪ Data Warehouse Component

Impulse DW

Impulse is a blazing fast data warehousing solution for real-time analytics. Impulse is a columnar database that enables fast ad-hoc analytics and instant data visibility with high concurrency.

Impulse Architecture:

▪ Machine Learning, Computer Vision, and Natural Language Processing

Components

Machine Learning

Momentum democratizes AI by providing no-coding toolkits to rapidly train and deploy Machine

Learning models in production, thus increasing the overall productivity of the data science team.

No specialized skill is needed to work with Momentum.

How Does Momentum AI Work?

• Prepare your data using Momentum Connect.

• Select a model type and configure it to take your data as input.

• Execute to automatically train a number of algorithms suitable for your use case.

• Evaluate and select the best model.

• Push the model to deploy it in production.

• Monitor model performance over time to assess when the right time to retrain the model is.

• Retrain incrementally, if necessary, and maintain model versions to switch to the best performing models.

Momentum supports a wide variety of machine learning algorithms out of the box. It provides a pluggable architecture to add new algorithms with just a few simple configurations. Here is a high-level list of models that we support:

Our model deployment employs efficient versioning, management, and deployment of machine learning models essential for any successful AI implementation. Momentum provides features to easily manage and deploy AI models in production in one of the following deployment use cases:

• Deploy model for real-time prediction from streaming data.

• Deploy model as a Restful webservice.

• Deploy model for on-demand prediction from a batch of data.

• Deploy one or more models to work together to automate business processes.

Computer Vision

Train and deploy image and video-based classification, object detection, and facial recognition models. Use pretrained and customize OCR/ICR models. Momentum supports training custom models to recognize printed and handwritten texts in virtually all languages.

Computer Vision Models:

• LSTM for OCR and ICR

• Convolutional Neural Network (CNN)

• Object Detection Using Single Shot Multi-Box Detection (SSD)

• Object Detection Using YOLO

• Object Detection Using RCNN, Fast RCNN, and Faster RCNN

• Facial Recognition

Natural Language Processing

Use or train models for language modeling, text summarization, POS, NER, sentiment analysis, document similarity and more. Natural Language Processing (NLP) techniques include:

• Generative Pre-trained Transformer (GPT)

• Text Generation and Question-Answering

• Tokenization, Sentence segmentation, POS, NER and concept categorization

• Text Summarization

• Sentiment Analysis

SecureGPT:

The applications of SecureGPT can extend to many industries, including entertainment, energy, consulting, education, and more. Its versatility and ability to understand and generate human-like responses make it a valuable tool for improving customer experience, streamlining operations, and enhancing communication in various domains. Features include:

▪ Automation Engine

Momentum Automate

Momentum Automate creates a digital workforce to perform repetitive and mundane work so that our enterprise customers utilize human cognitive power in solving higher-order problems.

• Enterprise process automation is time-consuming and expensive.

• Automation usually requires different tools from multiple vendors.

• Interoperability challenges of tools present yet another level of complexity.

• Requires a wide variety of skills for end-to-end automation.

▪ Visualization

Inset BI

Inset BI is a web-based visualization engine to display your business insights in the form of dashboards consisting of graphs and maps, to make data easier for the human brain.

II. Momentum MLOps Platform

Operational Efficiency in Machine Learning. On average, it takes 3 months to take an ML model from development to production. Data Scientists use different tools, programming languages, and libraries to develop models that are challenging for the operations teams to efficiently deploy, manage, monitor and scale. Frequent model enhancements and iterations make the situation even worse.

III. Artificial Intelligence Training for Non-Programmers

You will master the fundamentals of data science, machine learning, and artificial intelligence in this instructor-led, practical training program. The course is divided into two sections: theoretical and practical. Students will gain practical problem-solving skills during the course while studying topics including healthcare, the stock market, banking, manufacturing, and other sectors.

Students who complete the program will have the hands-on experience necessary to expand their knowledge of machine learning and AI and work on cutting-edge AI projects like self-driving cars and predictive maintenance. At the end of this course, you will develop a portfolio to showcase your knowledge, experience, and skillset.

Who can learn from this course?

This program is designed for:

• University students are looking to gain Artificial Intelligence skills as a part of academic requirements.

• Young graduates are interested in developing the skills required for the job.

• Working professionals requiring skill upgrade.

Program Details:

• Duration – 20 hours (Lecture – 10 hours, Lab – 10 hours)

• Mode of Training – Instructor led sessions (online)

• Requirement – Laptop

Key Takeaways:

• Certificate of Internship

• Letter of Recommendation (upon request)

Tools Covered:

• Momentum Platform o Data Engineering o MLOps o Automate o Impulse Data Warehouse o Inset BI

Course Curriculum:

1. Module 1 – Data Engineering

a. Fundamentals

b. Data Sources and Types

c. Data Transformation

d. SQL in Data Transformation

e. Data Pipeline & Warehousing

f. Exploratory Data Science

g. Assessment

2. Module 2 – Machine Learning

a. Fundamentals

b. ML Algorithms

c. Usage Scenario

d. Feature Engineering

e. Supervised ML Algorithms

f. Classification

g. Regression

h. Deep Learning and Neural Networks

i. Unsupervised ML Algorithms

j. Recommendation Engineering

k. Prediction and Testing

l. Model Deployment

m. Assessment

3. Module 3 – MLOps

a. Introduction

b. Components

c. ML Continuous Integration and Continuous Deployment (CI/CD) Pipeline

d. Model Deployment

e. Model Monitoring

f. Data Drift Detection

g. Model Governance

h. Assessment

4. Module 4 – Computer Vision (CV)

a. Introduction

b. Computer Vision Pipeline

c. ML Algorithms used in CV

d. Convolutional Neural Networks (CNN)

e. R-CNN, Fast R-CNN, Faster R-CNN

f. Single Shot Multi-Box Detector (SSD)

g. You Only Look Once (YOLO)

5. Module 5 – Visualization and Business Intelligence (BI)

a. Introduction to BI

b. Visual Data Exploration

c. Charts and Graphs

d. Developing Dashboards

e. Designing Reports

f. Designing Alerts

g. Security and Governance

6. Module 6 – Use Case Development

a. Use Case Selection

b. Problem Statement to Solution Steps

c. Developing Use Cases

d. Visualizing Outcomes

e. Assessment

IV. GSA Schedule Price List

Monthly Pricing:

Annual Pricing:

Perpetual Pricing:

Signature Matching API Pricing:

VENDOR NAME

MANUFACTURER

NAME

License

Term MFR PART NO PRODUCT NAME PRODUCT DESCRIPTION UOI GSA Pricing

QuantaHub2, LLC Momentum Monthly MOM-DE (M) Data Engineering Ingester, Transformer, Processor, Emitter, Pipeline (Monthly) EA 957.18$

QuantaHub2, LLC Momentum Monthly MOM-DW (M) Data Warehouse Storage, Query Engine and OLAP (Monthly) EA 1,435.77$

QuantaHub2, LLC Momentum Monthly MOM-ML (M) Machine Learning Deep learning, regression, classification, unsupervised clustering, and recommendation engine, feature engineering. Modeling, evaluation and deployment (Monthly) EA 2,392.95$

QuantaHub2, LLC Momentum Monthly MOM-CV1 (M) Computer Vision Image and video based modeling (Monthly) EA 478.59$

QuantaHub2, LLC Momentum Monthly MOM-CV2 (M) Computer Vision ICR (Handwriting recognition) (Monthly) EA 1,435.77$

QuantaHub2, LLC Momentum Monthly MOM-CV3 (M) Computer Vision OCR (Printed character recognition) (Monthly) EA 478.59$

QuantaHub2, LLC Momentum Monthly MOM-CV4 (M) Computer Vision Signature Matching - base model license. (Monthly) EA 478.59$

QuantaHub2, LLC Momentum Monthly MOM-CV5 (M) Computer Vision Face Recognition (Monthly) EA 478.59$

QuantaHub2, LLC Momentum Monthly MOM-CV6 (M) Computer Vision Object Detection (Monthly) EA 478.59$

QuantaHub2, LLC Momentum Monthly MOM-NLP (M) Natural Language Processing NLP modeling, including GPT training, pretrained, zeroshot. (Monthly) EA 1,914.36$

QuantaHub2, LLC Momentum Monthly MOM-AE (M) Automation Engine UI driven automation workflow builder and deployment (Monthly) EA 957.18$

QuantaHub2, LLC Momentum Monthly MOM-V (M) Visualization Web based visualization and BI engine (Monthly) EA 382.87$

QuantaHub2, LLC Momentum Monthly MOM-MLOPS (M) MLOps Managing the lifecycle, performance monitoring, AI explainability, CI/CD (Monthly) EA 5,743.07$

VENDOR NAME

MANUFACTURER

NAME

License

Term MFR PART NO PRODUCT NAME PRODUCT DESCRIPTION UOI GSA Pricing

QuantaHub2, LLC Momentum Annual MOM-DE (A) Data Engineering Ingester, Transformer, Processor, Emitter, Pipeline (Annual) EA 9,571.79$

QuantaHub2, LLC Momentum Annual MOM-DW (A) Data Warehouse Storage, Query Engine and OLAP (Annual) EA 14,357.68$

QuantaHub2, LLC Momentum Annual MOM-ML (A) Machine Learning Deep learning, regression, classification, unsupervised clustering, and recommendation engine, feature engineering. Modeling, evaluation and deployment (Annual) EA 23,929.47$

QuantaHub2, LLC Momentum Annual MOM-CV1 (A) Computer Vision Image and video based modeling (Annual) EA 4,785.89$

QuantaHub2, LLC Momentum Annual MOM-CV2 (A) Computer Vision ICR (Handwriting recognition) (Annual) EA 14,357.68$

QuantaHub2, LLC Momentum Annual MOM-CV3 (A) Computer Vision OCR (Printed character recognition) (Annual) EA 4,785.89$

QuantaHub2, LLC Momentum Annual MOM-CV4 (A) Computer Vision Signature Matching - base model license. (Annual) EA 4,785.89$

QuantaHub2, LLC Momentum Annual MOM-CV5 (A) Computer Vision Face Recognition (Annual) EA 4,785.89$

QuantaHub2, LLC Momentum Annual MOM-CV6 (A) Computer Vision Object Detection (Annual) EA 4,785.89$

QuantaHub2, LLC Momentum Annual MOM-NLP (A) Natural Language Processing NLP modeling, including GPT training, pretrained, zeroshot. (Annual) EA 19,143.58$

QuantaHub2, LLC Momentum Annual MOM-AE (A) Automation Engine UI driven automation workflow builder and deployment (Annual) EA 9,571.79$

QuantaHub2, LLC Momentum Annual MOM-V (A) Visualization Web based visualization and BI engine (Annual) EA 3,828.72$

QuantaHub2, LLC Momentum Annual MOM-MLOPS (A) MLOps Managing the lifecycle, performance monitoring, AI explainability, CI/CD (Annual) EA 57,430.73$

VENDOR NAME

MANUFACTURER

NAME

License

Term MFR PART NO PRODUCT NAME PRODUCT DESCRIPTION UOI GSA Pricing

QuantaHub2, LLC Momentum Perpetual MOM-DE (P) Data Engineering Ingester, Transformer, Processor, Emitter, Pipeline (Perpetual) EA 28,715.37$

QuantaHub2, LLC Momentum Perpetual MOM-DW (P) Data Warehouse Storage, Query Engine and OLAP (Perpetual) EA 43,073.05$

QuantaHub2, LLC Momentum Perpetual MOM-ML (P) Machine Learning Deep learning, regression, classification, unsupervised clustering, and recommendation engine, feature engineering. Modeling, evaluation and deployment (Perpetual) EA 71,788.41$

QuantaHub2, LLC Momentum Perpetual MOM-CV1 (P) Computer Vision Image and video based modeling (Perpetual) EA 14,357.68$

QuantaHub2, LLC Momentum Perpetual MOM-CV2 (P) Computer Vision ICR (Handwriting recognition) (Perpetual) EA 43,073.05$

QuantaHub2, LLC Momentum Perpetual MOM-CV3 (P) Computer Vision OCR (Printed character recognition) (Perpetual) EA 14,357.68$

QuantaHub2, LLC Momentum Perpetual MOM-CV4 (P) Computer Vision Signature Matching - base model license. (Perpetual) EA 14,357.68$

QuantaHub2, LLC Momentum Perpetual MOM-CV5 (P) Computer Vision Face Recognition (Perpetual) EA 14,357.68$

QuantaHub2, LLC Momentum Perpetual MOM-CV6 (P) Computer Vision Object Detection (Perpetual) EA 14,357.68$

QuantaHub2, LLC Momentum Perpetual MOM-NLP (P) Natural Language Processing NLP modeling, including GPT training, pretrained, zeroshot. (Perpetual) EA 57,430.73$

QuantaHub2, LLC Momentum Perpetual MOM-AE (P) Automation Engine UI driven automation workflow builder and deployment (Perpetual) EA 28,715.37$

QuantaHub2, LLC Momentum Perpetual MOM-V (P) Visualization Web based visualization and BI engine (Perpetual) EA 11,486.15$

QuantaHub2, LLC Momentum Perpetual MOM-MLOPS (P) MLOps Managing the lifecycle, performance monitoring, AI explainability, CI/CD (Perpetual) EA 172,292.19$

VENDOR NAME

MANUFACTURER

NAME

License

Term MFR PART NO PRODUCT NAME PRODUCT DESCRIPTION UOI GSA Pricing

QuantaHub2, LLC Momentum N/A MOM-ACV Momentum Signature matching APIs (needed in addition to base model). Price per API call. EA 0.10$

To Learn more:

Contact:

Will Rohde

301-275-7006 will@quantahub2.com www.quantahub2.com

Momentum: Technology Innovation (quantahub2.com) Training: Training (quantahub2.com) mailto:will@quantahub2.com https://www.quantahub2.com/ti https://www.quantahub2.com/training